Stock volatility as an anomalous diffusion process by Rubén V. Arévalo, J. Alberto Conejero, Òscar Garibo-i-Orts, Alfred Peris

“…In financial markets, accurately estimating asset volatility—whether historical or implied—is vital for investors.We introduce a novel methodology to estimate the volatility of stocks and similar assets, combining anomalous diffusion principles with machine learning. Our architecture combines convolutional and recurrent neural networks (bidirectional long short-term memory units). …”
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The Latest Developments and Future Trends of Australian Food Industry under the Concept of Sustainability by TAN Hong-zhuo, FANG Zhong-xiang, YI Cui-ping

“…The strategic approach focuses on comprehensive ways across the entire supply chain from farm to table, such as exploiting alternative protein food resources, learning adaptability from Aboriginal people, developing the fairer and more sustainable value chain, transitioning from a liner food chain to food web, upgrading the usage of food waste, etc. …”
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Enhanced CATBraTS for Brain Tumour Semantic Segmentation by Rim El Badaoui, Ester Bonmati Coll, Alexandra Psarrou, Hykoush A. Asaturyan, Barbara Villarini

“…Automatic brain tumour segmentation tools in computer vision have integrated powerful deep learning architectures to enable accurate tumour boundary delineation. …”
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Data driven prediction of fragment velocity distribution under explosive loading conditions by Donghwan Noh, Piemaan Fazily, Songwon Seo, Jaekun Lee, Seungjae Seo, Hoon Huh, Jeong Whan Yoon

“…This study presents a machine learning-based method for predicting fragment velocity distribution in warhead fragmentation under explosive loading condition. …”
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On the issue of criminal law protection of cyber security of Ukraine in modern conditions by Chuvakov O.

“…The methodological basis of the research is a set of general scientific principles and approaches, philosophical-worldview and special-scientific methods of learning socio-legal processes and phenomena, including: historical, dogmatic, comparative-legal, formal-logical, systemic-structural, modeling method. …”
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Understanding the implementation of interventions to improve the management of frailty in primary care: a rapid realist review by David Reeves, Thomas Blakeman, Harm Van Marwijk, Khulud Alharbi, Jung Yin Tsang

“…Key factors that facilitate or inhibit the translation of frailty interventions into practice related to the distribution of resources; patient engagement and professional skill sets to address identified need.Conclusion There remain challenges to achieving successful implementation of frailty interventions in primary care. There were a key learning points under each family. First, targeted allocation of resources to address specific needs allows a greater alignment of skill sets and reduces overassessment of frail individuals. …”
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Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions by Xiao Yu, Wei Chen, Chuanlong Wu, Enjie Ding, Yuanyuan Tian, Haiwei Zuo, Fei Dong

“…In real industrial scenarios, with the use of conventional machine learning techniques, data-driven diagnosis models have a limitation that it is difficult to achieve the desirable fault diagnosis performance, and the reason is that the training and testing datasets are assumed to have the same feature distributions. …”
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Medium-term load forecasting with Power Market Survey: GEPCO case study by Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, Syed Afraz Hussain Shah, Anzar Mahmood

“…The time horizon for MTLF ranges from a few weeks to one year and it has applications in energy management and planning. The deep-learning networks (DLNs), proposed in recent years, have a black-box nature, which reduces the interpretability of the results. …”
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Peculiarities of normative and legal regulation for the activity of higher education institutions with specific conditions which provide training for the National Police of Ukraine by D. V. Shvets

“…It has been noted that one of the main features of the legal regulation of higher education institutions with specific learning conditions is their management by several central executive bodies. …”
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The utilization of technology in environmental education by Hamida Nurul Azizah

“…Digital technology has enhanced connectivity between learners and the natural environment to create innovative digital learning tools. Therefore, the identified technology can be used to optimize the environmental education process. …”
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Discrete-Time Design of Fractional Delay-Based Repetitive Controller with Sliding Mode Approach for Uncertain Linear Systems with Multiple Periodic Signals by Edi Kurniawan, Azka M. Burrohman, Purwowibowo Purwowibowo, Sensus Wijonarko, Tatik Maftukhah, Jalu A. Prakosa, Dadang Rustandi, Enggar B. Pratiwi, Amaliyah Az-Zukhruf

“…Second, a sliding mode control (SMC) with a discrete-time reaching law is systematically incorporated into FD-RC to improve transient response, especially during the learning period of FD-RC, and also to provide system robustness against model uncertainties. …”
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Analysis of over 1600 chemistry YouTube channels from 2005 to 2023 by Scott Gardner, Gabriela Bezati, Tristen Godfrey, Katie Baird, Usamah Bilal, Emma Loudon, Rhona Young, Lewis E. MacKenzie

“…The majority of channels were produced by independent content creators with no clear affiliation or background and 71% of channels were for the purposes of learning or exam revision. YouTube video production spiked in 2020, coincident with the COVID-19 global pandemic. …”
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Music Theory, Historically-Informed Performance, and The Significance of Cities by Adam Krims

“…Recent theories from urban geography are raised in order to explain the kind of location-based learning that may account for such similarities and divergences, showing that ideas nurtured in discussions of urban creativity can contribute quite substantially to the concerns of music theory. …”
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Biomimic models for in vitro glycemic index: Scope of sensor integration and artificial intelligence by Mohammed Salman C K, Muskan Beura, Archana Singh, Anil Dahuja, Vinayak B. Kamble, Rajendra P. Shukla, Sijo Joseph Thandapilly, Veda Krishnan

“…Non-enzymatic sensors offer superior stability and repeatability in complex matrices, enabling real-time glucose quantification across multiple timepoints without enzyme degradation constraints. Machine learning algorithms, both supervised and unsupervised, enhance predictive accuracy by elucidating complex relationships within digestion data. …”
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FEMALE GENITAL MUTILATION AND THE DEVELOPMENT OF THE GIRL CHILD IN AKPABUYO LOCAL GOVERNMENT AREA OF CROSS RIVER STATE, NIGERIA by NNANA OKOIOFEM, JULIANA JEROME ADIE, OMINI UBI UBI, RUNYI DANIEL JAMES

“…Extant literatures were reviewed in line with the topic under study. The social learning and symbolic interactionism theories were used as the theoretical framework for this study. …”
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A Study of Lithosphere–Ionosphere Seismic Precursors from Detecting Gamma-Ray and Total Electron Content Anomalies Prior to the 2018 M_L6.2 Hualien Earthquake in Eastern... by Ching-Chou Fu, Hau-Kun Jhuang, Yi-Ying Ho, Tsung-Che Tsai, Lou-Chuang Lee, Cheng-Horng Lin, Ching-Ren Lin, Vivek Walia, I-Te Lee

“…Positive and negative TEC anomalies were observed in Taiwan on 20–21 January and 5 February, respectively, and may be considered as ionospheric precursors to the earthquake. Additionally, deep-learning techniques applied to TEC data facilitate the detection of ionospheric precursors associated with the Hualien earthquake, enabling forecasts of an approaching seismic event. …”
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Quaternion-Based Fast SMC–PD Cross-Domain Tracking Control for Coaxial Hybrid Aerial–Underwater Vehicle Under Oceanic Disturbances by Mingqing Lu, Wei Yang, Fei Liao, Shichong Wu, Yumin Su, Wenhua Wu

“…A variable parameter adaptive algorithm based on the learning rate is introduced in the cascaded SMC-PD controller. …”
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Building a culture of quality in maternal and newborn health: experience from the quality, equity and dignity network in Ethiopia by Anene Tesfa Berhanu, Asebe Amenu Tufa, Seblewengel Lemma, Geremew Gonfa, Theodros Getachew, Desalegn Bekele, Fitsum Kibret, Nehla Djellouli, Tim Colbourn, Tanya Marchant

“…Opportunities for collaboration and shared learning were facilitated, although not accessible to all actors. …”
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Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach by Junyoung Byun, Jaewook Lee, Hyeongyeong Lee, Bumho Son

“…Traditional machine learning models often lack transparency, which poses challenges for stakeholders who need to understand the factors leading to predictions. …”
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Premonitory urge in tic disorders – a scoping review by John B. Wohlgemuth, Kelly H. Watson, Kayce D. Gill, David A. Isaacs

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